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Training in progress epoch 6

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@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 7.1691
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- - Train End Logits Loss: 3.5943
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- - Train Start Logits Loss: 3.5748
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  - Validation Loss: 8.6083
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  - Validation End Logits Loss: 4.4272
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  - Validation Start Logits Loss: 4.1811
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- - Epoch: 5
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  ## Model description
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@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
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  | 7.1072 | 3.5426 | 3.5647 | 8.6083 | 4.4272 | 4.1811 | 3 |
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  | 6.9873 | 3.4903 | 3.4970 | 8.6083 | 4.4272 | 4.1811 | 4 |
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  | 7.1691 | 3.5943 | 3.5748 | 8.6083 | 4.4272 | 4.1811 | 5 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 7.1003
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+ - Train End Logits Loss: 3.5430
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+ - Train Start Logits Loss: 3.5573
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  - Validation Loss: 8.6083
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  - Validation End Logits Loss: 4.4272
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  - Validation Start Logits Loss: 4.1811
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+ - Epoch: 6
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  ## Model description
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  | 7.1072 | 3.5426 | 3.5647 | 8.6083 | 4.4272 | 4.1811 | 3 |
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  | 6.9873 | 3.4903 | 3.4970 | 8.6083 | 4.4272 | 4.1811 | 4 |
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  | 7.1691 | 3.5943 | 3.5748 | 8.6083 | 4.4272 | 4.1811 | 5 |
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+ | 7.1003 | 3.5430 | 3.5573 | 8.6083 | 4.4272 | 4.1811 | 6 |
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  ### Framework versions